Wenli Xiao
Wenli Xiao is a final-year PhD student in robotics at Carnegie Mellon University's School of Computer Science, advised by Professor Guanya Shi. He spent two years (2024–2026) as an intern at NVIDIA GEAR Lab, where he worked on foundation model post-training and physical auto-research with Dr. Linxi "Jim" Fan and Professor Yuke Zhu. He is known for his research on dexterous manipulation, humanoid robot control, and agentic frameworks for autonomous robot policy improvement, including the ENPIRE system and the HOVER whole-body controller.
“ENPIRE framework provides the necessary abstraction: 'reset the scene, execute a policy, verify the outcome, and refine the next iteration' (Abstract). This transforms real-world robot learning into a 'controllable optimization procedure' (Abstract)”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.